Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Western Norway University of Applied Sciences
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- OsloMet
- University of Inland Norway
- University of Stavanger
- 1 more »
- « less
-
Field
-
for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders
-
colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis. The candidate will
-
. Our research groups work with the development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research group you will
-
• Familiarity with high-throughput sequencing data and genome analysis. • Excellent written and spoken English skills, see requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
-
significant contributions to the experimental work, taking on responsibilities for data analysis. This includes developing relevant data analysis techniques and software, as well as conducting Monte Carlo
-
aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
-
able to participate in the larger Cosmoglobe project (PI: Prof. Ingunn Wehus), including analysis of archival data such as AKARI and DIRBE, as well as ongoing projects (e.g., COMAP and PASIPHAE) and
-
. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
-
eligible for appointment. Demonstrated experience in epidemiological modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and
-
• Experience with bioinformatics • Familiarity with high-throughput sequencing data and genome analysis. • Excellent written and spoken English skills, see requirements: https://www.mn.uio.no/english